Can Telemedicine Optimize the HCV Care Cascade in People Who Use Drugs? Features of an Innovative Decentralization Model and Comparison with Other Micro-Elimination Strategies
Abstract
:Simple Summary
Abstract
1. Introduction
2. PWUDs: Characteristics of a Special Population
3. HCV Care Cascade in PWUDs
4. Treatment Models
4.1. Our Telemedicine-Based Model
4.2. Other Telemedicine-Based Models
4.3. Other Treatment Models
4.3.1. Decentralization Models
4.3.2. Integrated Care
4.3.3. Directly Observed Therapy
4.3.4. Peer Support
4.3.5. Economic Incentives
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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First Authors | References | Year of Publication | Country | Study Design | Description of the Intervention | Telemedicine-Based Models? | HCV-RNA Positive Evaluated Patients, n | HCV-RNA Positive Treated Patients, n | Linkage to Care, % | Patients Who Have Completed Treatment, n/tot (%) | Adherence to Treatment, % | Overall SVR, n/tot (%) | Reinfection Rate, n/tot (%) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Our model | [8] | 2022 ‡ | Italy | Observational prospective monocentric | Decentralization “patient-tailored” model at SerDs | Yes | 135 | 135 | 100 | 129/135 (95.6) | 93.4 | 133/135 (98.5) | 1/133 (0.75) |
Talal | [34] | 2019 | USA | Prospective | Decentralization model in OST program | Yes | 61 | 45 | 73.8 | 44/45 (97.8) | 10–20% missed ≥ 1 dose | 42/45 (93.3) | 2/42 (4.8) |
Dhiman | [35] | 2021 | India | RCT | Integrated care | Yes | n.s. | 2826 * | n.s. | 2280/2826 (80.7) | n.e. | 1398/1552 evaluated (91.1) | n.e. |
Sivakumar | [36] | 2022 | USA | NRS | Minimization of face-to-face visits | Yes | 35 | 31 | 88.6 | 31 (100) | n.e. | 29/31 (93.5) | n.e. |
Grebely | [24] | 2018 | Several country | Multicentre open-label phase IV trial | Electronic blister packs | No | n.s. | 103 | n.s. | 100/103 (97.1) | 94 | 97/103 (94.2) | 1/98 (1) |
Norton | [37] | 2019 | USA | NRS | Financial incentives | No | 12 | 9 | 75 | 9/9 (100) | 74 | 9/9 (100) | n.e. |
Ward | [38] | 2019 | USA | RCT | Financial incentives | No | 54 | 41 | 76 | 39/41 (95.1) | 97.6 | 37/41 (90.2) | 1/38 (2.6) |
Peer mentors | No | 54 | 45 | 83 | 42/45 (93.3) | 97.8 | 41/45 (91.1) | 0/41 (0) | |||||
Akiyama | [39] | 2019 | USA | RCT | Directly observed therapy | No | n.s. | 51 | n.s. | 50/51 (98) | 86 | 50/51 (98) | n.e. |
Self-administered treatment | n.s. | 51 | n.s. | 48/51 (94) | 75 | 46/51 (90.2) | n.e. | ||||||
Messina | [31] | 2020 | Italy | Prospective | Training and partial decentralization | no | n.s. | 45 | 84 | 45/45 (100) | n.e. | 45/45 (100) | n.e. |
Schmidbauer | [40] | 2020 | Austria | n.s. | Directly observed therapy | No | n.s. | 74 | n.s. | 74/74 (100) | 94.6 | 70/74 (94.6) | 1/70 (1.4) |
Wade | [41] | 2020 | Australia/New Zealand | RCT | Primary care | No | 48 | 43 | 89.6 | 39/43 (90.7) | n.e. | 28/43 (65.1) | n.e. |
hospital-based specialist care | 29 | 18 | 62.1 | 17/18 (94.4) | n.e. | 16/18 (88.9) | n.e. | ||||||
Rinaldi | [42] | 2021 | Italy | Retrospective/prospective, multicenter | SerD | No | n.s. | 1460 | n.s. | 1451/1460 (99.4) | n.e. | 1404/1460 (96.2) | n.e. |
non-SerD | No | n.s. | 249 | n.s. | 241/249 (96.8) | n.e. | 228/249 (91.6) | n.e. | |||||
Mangia | [43] | 2021 | Italy | n.s. | Training, fast-track screening, dedicated transportation service | No | 231 | 226 | 97.8 | 220/226 (97.3) | 97.7 | 217/220 (98.6) | 1/217 (0.5) |
Byrne | [44] | 2022 | Scotland | Retrospective | Community pharmacies | No | n.s. | 144 | n.s. | 140/144 (97.2) | n.e. | 131/144 (91) | 12/131 (9.2) |
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Nevola, R.; Rosato, V.; Conturso, V.; Perillo, P.; Le Pera, T.; Del Vecchio, F.; Mastrocinque, D.; Pappalardo, A.; Imbriani, S.; Delle Femine, A.; et al. Can Telemedicine Optimize the HCV Care Cascade in People Who Use Drugs? Features of an Innovative Decentralization Model and Comparison with Other Micro-Elimination Strategies. Biology 2022, 11, 805. https://doi.org/10.3390/biology11060805
Nevola R, Rosato V, Conturso V, Perillo P, Le Pera T, Del Vecchio F, Mastrocinque D, Pappalardo A, Imbriani S, Delle Femine A, et al. Can Telemedicine Optimize the HCV Care Cascade in People Who Use Drugs? Features of an Innovative Decentralization Model and Comparison with Other Micro-Elimination Strategies. Biology. 2022; 11(6):805. https://doi.org/10.3390/biology11060805
Chicago/Turabian StyleNevola, Riccardo, Valerio Rosato, Vincenza Conturso, Pasquale Perillo, Teresa Le Pera, Ferdinando Del Vecchio, Davide Mastrocinque, Annalisa Pappalardo, Simona Imbriani, Augusto Delle Femine, and et al. 2022. "Can Telemedicine Optimize the HCV Care Cascade in People Who Use Drugs? Features of an Innovative Decentralization Model and Comparison with Other Micro-Elimination Strategies" Biology 11, no. 6: 805. https://doi.org/10.3390/biology11060805
APA StyleNevola, R., Rosato, V., Conturso, V., Perillo, P., Le Pera, T., Del Vecchio, F., Mastrocinque, D., Pappalardo, A., Imbriani, S., Delle Femine, A., Piacevole, A., & Claar, E. (2022). Can Telemedicine Optimize the HCV Care Cascade in People Who Use Drugs? Features of an Innovative Decentralization Model and Comparison with Other Micro-Elimination Strategies. Biology, 11(6), 805. https://doi.org/10.3390/biology11060805